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Towards Dense People Detection with Deep Learning and Depth images

Towards Dense People Detection with Deep Learning and Depth images

14 July 2020
D. Fuentes-Jiménez
Cristina Losada-Gutiérrez
D. Casillas-Pérez
Javier Macias-Guarasa
Roberto Martín-López
Daniel Pizarro-Perez
C. Luna
    3DH
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Papers citing "Towards Dense People Detection with Deep Learning and Depth images"

25 / 25 papers shown
Title
Detecting Humans in RGB-D Data with CNNs
Detecting Humans in RGB-D Data with CNNs
Kaiyang Zhou
A. Paiement
Majid Mirmehdi
3DH
26
22
0
17 Jul 2022
DPDnet: A Robust People Detector using Deep Learning with an Overhead
  Depth Camera
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
D. Fuentes-Jiménez
Roberto Martín-López
Cristina Losada-Gutiérrez
D. Casillas-Pérez
Javier Macias-Guarasa
Daniel Pizarro-Perez
C. Vázquez
3DH
37
21
0
01 Jun 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
117
12,153
0
23 Apr 2020
SpineNet: Learning Scale-Permuted Backbone for Recognition and
  Localization
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Xianzhi Du
Nayeon Lee
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Huayu Chen
Quoc V. Le
Xiaodan Song
42
173
0
10 Dec 2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object
  Detection
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi
Nayeon Lee
Ruoming Pang
Quoc V. Le
ObjD
57
1,389
0
16 Apr 2019
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and
  Deformable Reconstruction from a Single Image
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
D. Fuentes-Jiménez
D. Casillas-Pérez
Daniel Pizarro-Pérez
Toby Collins
Adrien Bartoli
3DV
3DH
43
10
0
19 Nov 2018
Benchmark Analysis of Representative Deep Neural Network Architectures
Benchmark Analysis of Representative Deep Neural Network Architectures
Simone Bianco
Rémi Cadène
Luigi Celona
Paolo Napoletano
BDL
52
673
0
01 Oct 2018
Deep Video Portraits
Deep Video Portraits
Hyeongwoo Kim
Pablo Garrido
A. Tewari
Weipeng Xu
Justus Thies
Matthias Nießner
P. Pérez
Christian Richardt
Michael Zollhöfer
Christian Theobalt
3DH
VGen
74
695
0
29 May 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
93
21,306
0
08 Apr 2018
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation
  Model
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model
Vladislav Golyanik
Soshi Shimada
Kiran Varanasi
D. Stricker
3DH
36
36
0
27 Mar 2018
Improving Generalization Performance by Switching from Adam to SGD
Improving Generalization Performance by Switching from Adam to SGD
N. Keskar
R. Socher
ODL
64
522
0
20 Dec 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
852
14,493
0
07 Oct 2016
Exploiting Depth from Single Monocular Images for Object Detection and
  Semantic Segmentation
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation
Yuanzhouhan Cao
Chunhua Shen
Heng Tao Shen
MDE
46
65
0
06 Oct 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
33
4,587
0
10 Feb 2016
How Far are We from Solving Pedestrian Detection?
How Far are We from Solving Pedestrian Detection?
Shanshan Zhang
Rodrigo Benenson
Mohamed Omran
J. Hosang
Bernt Schiele
48
492
0
03 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
495
27,231
0
02 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
778
15,718
0
02 Nov 2015
End-to-end people detection in crowded scenes
End-to-end people detection in crowded scenes
Russell Stewart
Mykhaylo Andriluka
57
541
0
16 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
568
36,643
0
08 Jun 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
117
2,901
0
05 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
844
149,474
0
22 Dec 2014
Pedestrian Detection aided by Deep Learning Semantic Tasks
Pedestrian Detection aided by Deep Learning Semantic Tasks
Yonglong Tian
Ping Luo
Xiaogang Wang
Xiaoou Tang
47
434
0
29 Nov 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
257
43,290
0
01 May 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
224
26,122
0
11 Nov 2013
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